Nearest-neighbor methods in learning and vision theory and practice
Gespeichert in:
Format: | Elektronisch E-Book |
---|---|
Sprache: | English |
Veröffentlicht: |
Cambridge, Mass.
MIT Press
©2005
|
Schriftenreihe: | Neural information processing series
|
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
LEADER | 00000nam a2200000zc 4500 | ||
---|---|---|---|
001 | BV042957136 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | cr|uuu---uuuuu | ||
008 | 151029s2005 xx o|||| 00||| eng d | ||
020 | |a 9780262256957 |9 978-0-262-25695-7 | ||
020 | |a 0262256959 |9 0-262-25695-9 | ||
020 | |a 026219547X |9 0-262-19547-X | ||
020 | |a 9780262195478 |9 978-0-262-19547-8 | ||
035 | |a (OCoLC)68907209 | ||
035 | |a (DE-599)BVBBV042957136 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
082 | 0 | |a 006.3/1 |2 22 | |
245 | 1 | 0 | |a Nearest-neighbor methods in learning and vision |b theory and practice |c edited by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk |
264 | 1 | |a Cambridge, Mass. |b MIT Press |c ©2005 | |
300 | |a 1 Online-Ressource (vi, 252 pages) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a Neural information processing series | |
500 | |a " ... held in Whistler, British Columbia ... annual conference on Neural Information Processing Systems (NIPS) in December 2003"--Preface | ||
500 | |a Includes bibliographical references and index | ||
500 | |a Nearest-neighbor searching and metric space dimensions / Kenneth L. Clarkson -- Locality-sensitive hashing using stable distributions / Alexandr Andoni [and others] -- New algorithms for efficient high-dimensional nonparametric classification / Ting Liu, Andrew W. Moore, and Alexander Gray -- Approximate nearest neighbor regression in very high dimensions / Sethu Vijayakumar, Aaron D'Souza, and Stefan Schaal -- Learning embeddings for fast approximate nearest neighbor retrieval / Vassilis Athitsos [and others] -- Parameter-sensitive hashing for fast pose estimation / Gregory Shakhnarovich, Paul Viola, and Trevor Darrell -- Contour matching using approximate Earth mover's distance / Kristen Grauman and Trevor Darrell -- Adaptive mean shift based clustering in high dimensions / Ilan Shimshoni, Bogdan Georgescu, and Peter Meer -- Object recognition using locality sensitive hashing of shape contexts / Andrea Frome and Jitendra Malik | ||
650 | 4 | |a Algorithms | |
650 | 4 | |a Artificial Intelligence | |
650 | 4 | |a Nearest neighbor analysis (Statistics) | |
650 | 4 | |a Machine learning | |
650 | 4 | |a Geometry / Data processing | |
650 | 7 | |a COMPUTERS / Enterprise Applications / Business Intelligence Tools |2 bisacsh | |
650 | 7 | |a COMPUTERS / Intelligence (AI) & Semantics |2 bisacsh | |
650 | 7 | |a Algorithms |2 fast | |
650 | 7 | |a Geometry / Data processing |2 fast | |
650 | 7 | |a Machine learning |2 fast | |
650 | 7 | |a Nearest neighbor analysis (Statistics) |2 fast | |
650 | 7 | |a Anwendung |2 swd | |
650 | 7 | |a Maschinelles Lernen |2 swd | |
650 | 7 | |a Maschinelles Sehen |2 swd | |
650 | 7 | |a Nächste-Nachbarn-Problem |2 swd | |
650 | 4 | |a Datenverarbeitung | |
650 | 4 | |a Nearest neighbor analysis (Statistics) |v Congresses | |
650 | 4 | |a Machine learning |v Congresses | |
650 | 4 | |a Algorithms |v Congresses | |
650 | 4 | |a Geometry |x Data processing |v Congresses | |
650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Anwendung |0 (DE-588)4196864-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Maschinelles Sehen |0 (DE-588)4129594-8 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Nächste-Nachbarn-Problem |0 (DE-588)4376579-8 |2 gnd |9 rswk-swf |
655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |2 gnd-content | |
689 | 0 | 0 | |a Nächste-Nachbarn-Problem |0 (DE-588)4376579-8 |D s |
689 | 0 | 1 | |a Anwendung |0 (DE-588)4196864-5 |D s |
689 | 0 | |8 1\p |5 DE-604 | |
689 | 1 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
689 | 1 | |8 2\p |5 DE-604 | |
689 | 2 | 0 | |a Maschinelles Sehen |0 (DE-588)4129594-8 |D s |
689 | 2 | |8 3\p |5 DE-604 | |
700 | 1 | |a Shakhnarovich, Gregory |e Sonstige |4 oth | |
700 | 1 | |a Darrell, Trevor |e Sonstige |4 oth | |
700 | 1 | |a Indyk, Piotr |e Sonstige |4 oth | |
856 | 4 | 0 | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=156924 |x Aggregator |3 Volltext |
912 | |a ZDB-4-EBU | ||
940 | 1 | |q FLA_PDA_EBU | |
883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
883 | 1 | |8 3\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-028383053 |
Datensatz im Suchindex
_version_ | 1819295146007592962 |
---|---|
any_adam_object | |
building | Verbundindex |
bvnumber | BV042957136 |
collection | ZDB-4-EBU |
ctrlnum | (OCoLC)68907209 (DE-599)BVBBV042957136 |
dewey-full | 006.3/1 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3/1 |
dewey-search | 006.3/1 |
dewey-sort | 16.3 11 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04308nam a2200817zc 4500</leader><controlfield tag="001">BV042957136</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">151029s2005 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780262256957</subfield><subfield code="9">978-0-262-25695-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0262256959</subfield><subfield code="9">0-262-25695-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">026219547X</subfield><subfield code="9">0-262-19547-X</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780262195478</subfield><subfield code="9">978-0-262-19547-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)68907209</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042957136</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3/1</subfield><subfield code="2">22</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Nearest-neighbor methods in learning and vision</subfield><subfield code="b">theory and practice</subfield><subfield code="c">edited by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge, Mass.</subfield><subfield code="b">MIT Press</subfield><subfield code="c">©2005</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (vi, 252 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Neural information processing series</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">" ... held in Whistler, British Columbia ... annual conference on Neural Information Processing Systems (NIPS) in December 2003"--Preface</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Nearest-neighbor searching and metric space dimensions / Kenneth L. Clarkson -- Locality-sensitive hashing using stable distributions / Alexandr Andoni [and others] -- New algorithms for efficient high-dimensional nonparametric classification / Ting Liu, Andrew W. Moore, and Alexander Gray -- Approximate nearest neighbor regression in very high dimensions / Sethu Vijayakumar, Aaron D'Souza, and Stefan Schaal -- Learning embeddings for fast approximate nearest neighbor retrieval / Vassilis Athitsos [and others] -- Parameter-sensitive hashing for fast pose estimation / Gregory Shakhnarovich, Paul Viola, and Trevor Darrell -- Contour matching using approximate Earth mover's distance / Kristen Grauman and Trevor Darrell -- Adaptive mean shift based clustering in high dimensions / Ilan Shimshoni, Bogdan Georgescu, and Peter Meer -- Object recognition using locality sensitive hashing of shape contexts / Andrea Frome and Jitendra Malik</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Algorithms</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Nearest neighbor analysis (Statistics)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geometry / Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Enterprise Applications / Business Intelligence Tools</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Intelligence (AI) & Semantics</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Algorithms</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Geometry / Data processing</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Machine learning</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Nearest neighbor analysis (Statistics)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Anwendung</subfield><subfield code="2">swd</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="2">swd</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Maschinelles Sehen</subfield><subfield code="2">swd</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Nächste-Nachbarn-Problem</subfield><subfield code="2">swd</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Datenverarbeitung</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Nearest neighbor analysis (Statistics)</subfield><subfield code="v">Congresses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield><subfield code="v">Congresses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Algorithms</subfield><subfield code="v">Congresses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geometry</subfield><subfield code="x">Data processing</subfield><subfield code="v">Congresses</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Anwendung</subfield><subfield code="0">(DE-588)4196864-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Sehen</subfield><subfield code="0">(DE-588)4129594-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Nächste-Nachbarn-Problem</subfield><subfield code="0">(DE-588)4376579-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Nächste-Nachbarn-Problem</subfield><subfield code="0">(DE-588)4376579-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Anwendung</subfield><subfield code="0">(DE-588)4196864-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="2" ind2="0"><subfield code="a">Maschinelles Sehen</subfield><subfield code="0">(DE-588)4129594-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2=" "><subfield code="8">3\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shakhnarovich, Gregory</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Darrell, Trevor</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Indyk, Piotr</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=156924</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBU</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">FLA_PDA_EBU</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-028383053</subfield></datafield></record></collection> |
genre | (DE-588)1071861417 Konferenzschrift gnd-content |
genre_facet | Konferenzschrift |
id | DE-604.BV042957136 |
illustrated | Not Illustrated |
indexdate | 2024-12-24T04:37:33Z |
institution | BVB |
isbn | 9780262256957 0262256959 026219547X 9780262195478 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028383053 |
oclc_num | 68907209 |
open_access_boolean | |
physical | 1 Online-Ressource (vi, 252 pages) |
psigel | ZDB-4-EBU FLA_PDA_EBU |
publishDate | 2005 |
publishDateSearch | 2005 |
publishDateSort | 2005 |
publisher | MIT Press |
record_format | marc |
series2 | Neural information processing series |
spelling | Nearest-neighbor methods in learning and vision theory and practice edited by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk Cambridge, Mass. MIT Press ©2005 1 Online-Ressource (vi, 252 pages) txt rdacontent c rdamedia cr rdacarrier Neural information processing series " ... held in Whistler, British Columbia ... annual conference on Neural Information Processing Systems (NIPS) in December 2003"--Preface Includes bibliographical references and index Nearest-neighbor searching and metric space dimensions / Kenneth L. Clarkson -- Locality-sensitive hashing using stable distributions / Alexandr Andoni [and others] -- New algorithms for efficient high-dimensional nonparametric classification / Ting Liu, Andrew W. Moore, and Alexander Gray -- Approximate nearest neighbor regression in very high dimensions / Sethu Vijayakumar, Aaron D'Souza, and Stefan Schaal -- Learning embeddings for fast approximate nearest neighbor retrieval / Vassilis Athitsos [and others] -- Parameter-sensitive hashing for fast pose estimation / Gregory Shakhnarovich, Paul Viola, and Trevor Darrell -- Contour matching using approximate Earth mover's distance / Kristen Grauman and Trevor Darrell -- Adaptive mean shift based clustering in high dimensions / Ilan Shimshoni, Bogdan Georgescu, and Peter Meer -- Object recognition using locality sensitive hashing of shape contexts / Andrea Frome and Jitendra Malik Algorithms Artificial Intelligence Nearest neighbor analysis (Statistics) Machine learning Geometry / Data processing COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Algorithms fast Geometry / Data processing fast Machine learning fast Nearest neighbor analysis (Statistics) fast Anwendung swd Maschinelles Lernen swd Maschinelles Sehen swd Nächste-Nachbarn-Problem swd Datenverarbeitung Nearest neighbor analysis (Statistics) Congresses Machine learning Congresses Algorithms Congresses Geometry Data processing Congresses Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Anwendung (DE-588)4196864-5 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Nächste-Nachbarn-Problem (DE-588)4376579-8 gnd rswk-swf (DE-588)1071861417 Konferenzschrift gnd-content Nächste-Nachbarn-Problem (DE-588)4376579-8 s Anwendung (DE-588)4196864-5 s 1\p DE-604 Maschinelles Lernen (DE-588)4193754-5 s 2\p DE-604 Maschinelles Sehen (DE-588)4129594-8 s 3\p DE-604 Shakhnarovich, Gregory Sonstige oth Darrell, Trevor Sonstige oth Indyk, Piotr Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=156924 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Nearest-neighbor methods in learning and vision theory and practice Algorithms Artificial Intelligence Nearest neighbor analysis (Statistics) Machine learning Geometry / Data processing COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Algorithms fast Geometry / Data processing fast Machine learning fast Nearest neighbor analysis (Statistics) fast Anwendung swd Maschinelles Lernen swd Maschinelles Sehen swd Nächste-Nachbarn-Problem swd Datenverarbeitung Nearest neighbor analysis (Statistics) Congresses Machine learning Congresses Algorithms Congresses Geometry Data processing Congresses Maschinelles Lernen (DE-588)4193754-5 gnd Anwendung (DE-588)4196864-5 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Nächste-Nachbarn-Problem (DE-588)4376579-8 gnd |
subject_GND | (DE-588)4193754-5 (DE-588)4196864-5 (DE-588)4129594-8 (DE-588)4376579-8 (DE-588)1071861417 |
title | Nearest-neighbor methods in learning and vision theory and practice |
title_auth | Nearest-neighbor methods in learning and vision theory and practice |
title_exact_search | Nearest-neighbor methods in learning and vision theory and practice |
title_full | Nearest-neighbor methods in learning and vision theory and practice edited by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk |
title_fullStr | Nearest-neighbor methods in learning and vision theory and practice edited by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk |
title_full_unstemmed | Nearest-neighbor methods in learning and vision theory and practice edited by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk |
title_short | Nearest-neighbor methods in learning and vision |
title_sort | nearest neighbor methods in learning and vision theory and practice |
title_sub | theory and practice |
topic | Algorithms Artificial Intelligence Nearest neighbor analysis (Statistics) Machine learning Geometry / Data processing COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Algorithms fast Geometry / Data processing fast Machine learning fast Nearest neighbor analysis (Statistics) fast Anwendung swd Maschinelles Lernen swd Maschinelles Sehen swd Nächste-Nachbarn-Problem swd Datenverarbeitung Nearest neighbor analysis (Statistics) Congresses Machine learning Congresses Algorithms Congresses Geometry Data processing Congresses Maschinelles Lernen (DE-588)4193754-5 gnd Anwendung (DE-588)4196864-5 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Nächste-Nachbarn-Problem (DE-588)4376579-8 gnd |
topic_facet | Algorithms Artificial Intelligence Nearest neighbor analysis (Statistics) Machine learning Geometry / Data processing COMPUTERS / Enterprise Applications / Business Intelligence Tools COMPUTERS / Intelligence (AI) & Semantics Anwendung Maschinelles Lernen Maschinelles Sehen Nächste-Nachbarn-Problem Datenverarbeitung Nearest neighbor analysis (Statistics) Congresses Machine learning Congresses Algorithms Congresses Geometry Data processing Congresses Konferenzschrift |
url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=156924 |
work_keys_str_mv | AT shakhnarovichgregory nearestneighbormethodsinlearningandvisiontheoryandpractice AT darrelltrevor nearestneighbormethodsinlearningandvisiontheoryandpractice AT indykpiotr nearestneighbormethodsinlearningandvisiontheoryandpractice |